360i is a fully integrated creative and media agency that helps brands capitalize on change. As a highly strategic creative and media partner with a deep understanding of how people discover brands and share stories, we don’t just react to changes in the marketplace – we predict and define them. We’re built for progressive marketers hungry for ideas that make human and business sense. By bringing together some of the smartest, most curious people with expertise in data, creativity, media, strategy, search, and social, we help our clients achieve their objectives and drive their business forward. And our hustle doesn’t go unnoticed. In 2019, we were selected for Ad Age’s A-List – our ninth consecutive year in the coveted issue. We’ve also been named Adweek’s Breakthrough Media Agency of the Year, one of Campaign’s Top 25 Most Influential Agencies, one of Fast Company’s Most Innovative Companies, and ranked amongst the best Performance Marketing Agencies by Forrester Research. That’s some range. We work with brands including 7-Eleven, Ben & Jerry’s, DSW, Kroger, Mondelez and SkinnyPop. To learn more, visit www.360i.com.

The primary focus of 360i’s Data Science team is to devise robust yet simple, actionable solutions to drive our clients' business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance decision making via our deep (and constantly evolving) marketing analytics capabilities.

For this role, we are looking for someone who is deeply interested in the application of advanced statistic and econometric methodologies in both theory and practice. Candidates should be intellectually curious and pragmatic self-starters who see projects through to completion.

Responsibilities:
Operate 'in-the-weeds' on client analytics engagements, executing the below under direction of Manager/Associate Director:

• Cleanse, compile and process client data
• Research & execute relevant statistical/econometric frameworks
• Develop custom analytical tools for ongoing media insights & optimization, deploy within cloud
• Participate in stakeholder interview process and internal brainstorm sessions for each client project, framing prospective analytics solutions through appropriate lens
• Actively participate in and contribute to team-wide learning and development agenda
• Assist with research into/discovery of new analytics methodologies, outline roadmap for tool development, and execute tool build
• Interface directly with internal stakeholders and clients to guide interpretation of analytics outputs and how to implement results

Requirements:

• Bachelor’s Degree in a quantitative field or proof of relevant Bootcamp completion
• Strong foundation in either Python or R, with working knowledge of the following libraries/modules:
  • Python: pandas, NumPy, StatsModels, SciKit-learn, Matplotlib
  • R: tidyverse (dplyr, tidyr, purrr, ggplot2), lme4, shiny
• Functional working proficiency with Git (GitHub & BitBucket)
• Familiarity with relational databases and the cloud (particularly AWS/GCP/Azure)
• Exposure to and understanding of several key econometric and statistical frameworks:
  • Linear Regression, Logistic Regression, ARIMA, Kalman Filter, BSTS, Prophet, Decision Trees, Random Forest, Factor Analysis, KNN, K-Means, etc.
• Possess the ability to receive direction, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
• The demonstrated ability to translate complex processes into client-friendly terms
• Experience with marketing response models and their applications a plus
• Experience with Airflow, Docker, and CI/CD a plus
• 2+ year working experience in analytics or other consultancy a plus

Employees from diverse or underrepresented backgrounds encouraged to apply.
dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact [email protected] if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.